Extensive patient data collection for training the models

[Edward-H26]

• While collecting extensive patient data can significantly improve Machine Learning models training, delay the mass data collection initiatives until there are clear data privacy frameworks and patient consent in certain hospitals.
• Prepare a comprehensive plan for patient engagement and education about the benefits and risks associated with data sharing for Machine Learning models development.
• Evaluate the current Machine Learning models' capacities for handling and analyzing significantly larger datasets and identify necessary upgrades to support future expansions without compromising data integrity or security.